How is this different from AI Opportunity Score?

The assessment is the search need; AI Opportunity Score is the Tirion entry path for prioritization.

Which dimensions matter?

Use case, data, governance, sponsor, Microsoft context and operating value.

Do you need high readiness to start?

No. The point is to choose a realistic and responsible next step.

When should a workshop follow?

When use cases, governance or roadmap are not decision-ready.

When should a company wait?

When the problem, owner or data access is still too unclear.

AI Readiness Assessment

AI Readiness Assessment for US teams that need the next move, not a maturity score.

AI Readiness Assessment for US companies: evaluate AI readiness, use cases, data, governance and the next practical step.

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AI Readiness Assessment: AI Opportunity Score

What should an AI Readiness Assessment check?

Short answer

An AI Readiness Assessment should evaluate whether a company can move responsibly: use-case clarity, data access, governance, sponsor strength, Microsoft ecosystem context and operating value.

Decision moment

When leadership needs to know whether to start, deepen, govern or pause before investing in AI.

Expected outcome

A practical view of readiness, opportunity, risk and next-step recommendation.

Recommended path

US offer path: AI Opportunity Score gives a first prioritization instead of a generic maturity report.

Market fit

For US teams that need to know whether to start now, shape governance first or choose a better first use case.

Framework

Tirion decision frame

Each page is written as an executive decision surface for the US offer: practical, Microsoft-aware and built around the next move.

01Use-case readiness

Is there a specific problem and measurable value?

02Data and platform readiness

Are sources, permissions and Microsoft context clear enough?

03Governance readiness

Are the main risks and approval paths visible?

04Decision readiness

Can leadership choose the next move with confidence?

Decision questions

Questions leadership should answer before the next move

Which AI opportunity would we choose first if we only funded one?
Which data and permissions are clear enough to use now?
Which governance question could block progress later?
Do we need a score, a kickstart, consulting or a deliberate pause?

Red flags

Signals that the work is not ready to scale

Readiness becomes a long survey without a decision recommendation.
The maturity score looks good but no use case is actionable.
Risks are listed without owners or decision paths.

Anonymized example pattern

Anonymized decision pattern

Situation

A US leadership team wanted AI but could not choose between workshop, pilot and platform work.

Intervention

Tirion mapped opportunity, readiness and blockers into a first AI Opportunity Score.

Decision

The next step became AI Kickstart because prioritization and governance needed sharpening first.

Decision logic

How to decide

Ifleadership needs to know whether to start, deepen, govern or pause before investing in AI.

then start with AI Opportunity Score to create a decision-ready path.

Ifrisk, data or ownership are unclear

then clarify governance before committing budget or pilot scope.

Ifthe next decision needs to be carried by leadership

then use an executive brief, trade-offs and a 30/60/90 roadmap.

Compare with other decision pages

Other search paths

AI Strategy WorkshopAI strategy workshop for US leadership teams that need a real decision.AI Governance ConsultingAI governance consulting for US teams moving from experiments to control.Azure OpenAI ConsultingAzure OpenAI consulting for US teams building Microsoft-first AI.Microsoft Copilot GovernanceMicrosoft Copilot governance for US teams before rollout gets noisy.

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Want to clarify the right path?

In 30 minutes we identify whether the US offer path should start with Kickstart, Consulting, Company Brain, Sprint or Advisory.

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